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  2. Lexile - Wikipedia

    en.wikipedia.org/wiki/Lexile

    The Lexile Framework for Reading is an educational tool that uses a measure called a Lexile to match readers with reading resources such as books and articles. Readers and texts are assigned a Lexile score, where lower scores reflect easier readability for texts and lower reading ability for readers.

  3. Flesch–Kincaid readability tests - Wikipedia

    en.wikipedia.org/wiki/Flesch–Kincaid...

    "The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...

  4. Readability - Wikipedia

    en.wikipedia.org/wiki/Readability

    Readability is the ease with which a reader can understand a written text.The concept exists in both natural language and programming languages though in different forms. In natural language, the readability of text depends on its content (the complexity of its vocabulary and syntax) and its presentation (such as typographic aspects that affect legibility, like font size, line height ...

  5. Automated readability index - Wikipedia

    en.wikipedia.org/wiki/Automated_readability_index

    The automated readability index (ARI) is a readability test for English texts, designed to gauge the understandability of a text. Like the Flesch–Kincaid grade level, Gunning fog index, SMOG index, Fry readability formula, and Coleman–Liau index, it produces an approximate representation of the US grade level needed to comprehend the text.

  6. READ 180 - Wikipedia

    en.wikipedia.org/wiki/READ_180

    READ 180 was founded in 1985 by Ted Hasselbring and members of the Cognition and Technology Group at Vanderbilt University.With a grant from the United States Department of Education’s Office of Special Education, Dr. Hasselbring developed software that used student performance data to individualize and differentiate the path of computerized reading instruction. [2]

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